Bisphenol A exposure and symptoms of anxiety and depression among inner city children at 10–12 years of age

Bisphenol A exposure and symptoms of anxiety and depression among inner city children at 10–12 years of age

Environmental Research 151 (2016) 195–202 Contents lists available at ScienceDirect Environmental Research journal homepage: www.elsevier.com/locate...

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Environmental Research 151 (2016) 195–202

Contents lists available at ScienceDirect

Environmental Research journal homepage: www.elsevier.com/locate/envres

Bisphenol A exposure and symptoms of anxiety and depression among inner city children at 10–12 years of age Frederica Perera a,b,n, Emily L. Roen Nolte a,b, Ya Wang b,c, Amy E. Margolis b,e, Antonia M. Calafat d, Shuang Wang b,c, Wanda Garcia b,g, Lori A. Hoepner a,b, Bradley S. Peterson f, Virginia Rauh b,g, Julie Herbstman a,b a

Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 722 W. 168th St., New York, NY 10032, USA Columbia Center for Children’s Environmental Health, Columbia University, 722 W. 168th St., New York, NY 10032, USA c Department of Biostatistics, Mailman School of Public Health, Columbia University, 722 W. 168th St., New York, NY 10032, USA d National Center for Environmental Health, Centers for Disease Control and Prevention, 4770 Buford Hwy, MS F17, Atlanta, GA 30341, USA e Division of Child & Adolescent Psychiatry and the Center for Developmental Neuropsychiatry, Department of Psychiatry, The New York State Psychiatric Institute and the College of Physicians and Surgeons, Columbia University, 1051 Riverside Drive, New York, NY 10032, USA f Institute for the Developing Mind, Children’s Hospital Los Angeles and Keck School of Medicine at the University of Southern California, USA g The Heilbrunn Department of Population and Family Health, Columbia University, 60 Haven Avenue, New York, NY 10032, USA b

art ic l e i nf o

a b s t r a c t

Article history: Received 24 February 2016 Received in revised form 28 June 2016 Accepted 19 July 2016

Background: Experimental and epidemiological studies suggest that gestational exposure to Bisphenol A (BPA), an ubiquitous endocrine disrupting chemical, may lead to neurobehavioral problems in childhood; however, not all results have been consistent. We previously reported a positive association between prenatal BPA exposure and symptoms of anxiety/depression reported by the mother at child age 7–9 years in boys, but not girls. Objectives: Here, in the same birth cohort, we investigated the association of prenatal BPA exposure with symptoms of depression and anxiety self-reported by the 10–12 year olds, hypothesizing that we would observe sex-specific differences in anxiety and depressive symptoms. Methods: African-American and Dominican women living in Northern Manhattan and their children were followed from mother’s pregnancy through children’s age 10–12 years. BPA was quantified in maternal urine collected during the third trimester of pregnancy and in child urine collected at ages 3 and 5 years. Children were evaluated using the Revised Children’s Manifest Anxiety Scale (RCMAS) and Children’s Depression Rating Scale (CDRS). We compared the children in the highest tertile of BPA concentration to those in the lower two tertiles. Associations between behavior and prenatal (maternal) BPA concentration or postnatal (child) BPA concentration were assessed in regression models stratified by sex. Results: Significant positive associations between prenatal BPA and symptoms of depression and anxiety were observed among boys. Postnatal BPA exposure was not significantly associated with outcomes. There was substantial co-occurrence of anxiety and depressive symptoms in this sample. Conclusion: These results provide evidence that prenatal BPA exposure is associated with more symptoms of anxiety and depression in boys but not in girls at age 10–12 years. & 2016 Elsevier Inc. All rights reserved.

Keywords: Prenatal Bisphenol A Child behavior Sex-specific

1. Introduction Becauseof their increasing prevalence, early onset, and impact on the child, family, and community, mental and behavioral disorders in children are a growing public health concern (Perou et al., 2013). An estimated 17% of US adolescents aged 13–18

n Corresponding author at: Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 722 W. 168th St., New York, NY 10032, USA. E-mail address: [email protected] (F. Perera).

http://dx.doi.org/10.1016/j.envres.2016.07.028 0013-9351/& 2016 Elsevier Inc. All rights reserved.

experience an emotional, mental, or behavioral disorder, including anxiety and depression (Merikangas et al., 2010). These mental and behavioral disorders in persons r24 years of age impose an annual cost in the United States of $247 billion or $2,380 per person (Perou et al., 2013; Eisenberg and Neighbors, 2007). Their etiology is complex, including familial, genetic and environmental factors (Reinherz et al., 2000; Fendrich et al., 1990; López et al.,

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inner city cohort, as has been reported in many other studies (Cummings et al., 2014).

n=727 fully enrolled

2. Methods

n=358 with prenatal BPA

2.1. Sample selection n=348 with all covariates

n=241 with either CDRS or RCMAS

n=231 with completed data on CDRS and all covariates

n=239 with completed data on RCMAS and all covariates

Fig. 1. Selection criteria for children included in the analysis.1

1999; Merikangas et al., 1999). Bisphenol A (BPA) is a ubiquitous endocrine disrupting chemical commonly used to manufacture polymers found in food and drink containers, certain dental sealants (Maserejian et al., 2012), thermal receipt paper (Vandenberg et al., 2007), medical devices and sales receipts (Biedermann et al., 2010; Geens et al., 2011). According to a national survey, 93% of persons 6 years or older who were sampled had detectable levels of BPA in their urine; higher BPA urinary concentrations were seen among women and low-income individuals (Nelson et al., 2012; Calafat et al., 2008). Experimental studies in laboratory animals have reported associations between BPA exposure and sex-specific changes in brain structure, function, alterations in DNA methylation of the genome, and behavioral problems (including anxiety-like behavior, inhibition of spatial skills, problems in spatial learning, and aggressiveness) (Wolstenholme et al., 2011; Patisaul et al., 2006; Rubin et al., 2006; Patisaul et al., 2007; Cox et al., 2010; Nakagami et al., 2009; Palanza et al., 2008; Kundakovic et al., 2013; Peluso et al., 2014). In mice, prenatal BPA induced lasting changes in DNA methylation in the transcriptionally relevant region of the gene encoding BDNF (brain derived neurotrophic factor), which plays an important role in fetal brain development; these changes were consistent with BDNF changes in the cord blood of children exposed to BPA in utero (Kundakovic et al., 2015). Similarly, the various adverse effects observed in these studies may be occurring in a sex-specific, dose-dependent manner via changes in DNA methylation and gene expression in estrogen signaling pathways and estrogen receptors (Kundakovic et al., 2013; Naciff et al., 2002; Vandenberg et al., 2009; Wetherill et al., 2007). Epidemiologic studies have reported sex-specific differences in child behavior associated with increased prenatal BPA/maternal urinary concentrations (Perera et al., 2012; Harley et al., 2013; Braun et al., 2011a, 2009; Evans et al., 2014; Roen et al., 2015). However, the associations and sex-specific relationships observed in epidemiological studies have not always been consistent (Perera et al., 2012; Harley et al., 2013; Braun et al., 2011a, 2009) (see details in Section 4). Using assessment instruments with reporting by the child, rather than by the parent, to elicit information on symptoms of anxiety and depression, we hypothesized that we would continue to observe sex-specific associations between prenatal BPA urinary concentrations and symptoms of both anxiety and depression at 10–12 years of age. Further, we hypothesized that we would observe extensive comorbidity of anxiety and depression in this 1 Due to limitations in available maternal urine and limited funding for analysis of BPA concentrations, BPA data were available only for a subset of participants enrolled in the parent study.

A complete description of the NYC cohort and study design appears elsewhere (Perera et al., 2003, 2006). Briefly, participants included mothers and children participating in the Columbia Center for Children’s Environmental Health (CCCEH) prospective cohort study. Between 1998 and 2006, 727 pregnant women residing in Washington Heights, Harlem and the South Bronx were recruited in prenatal clinics to participate in the study. Only women ages 18–35 years, non-smokers, non-users of other tobacco products and/or illicit drugs, those generally in good health (free of known diabetes, hypertension and HIV), and those who initiated prenatal care by 20 weeks of pregnancy were included in the study. In-person postnatal questionnaires were given when the child was 6 months and annually thereafter, with developmental questionnaires administered every 1–2 years. Informed consent was provided for children by the mothers until age 7 after which age the children gave their assent to participate. The Institutional Review Boards of the Columbia University Medical Center and the Centers for Disease Control and Prevention (CDC) approved this study. 2.2. Chemical measures Collection of spot urine samples during the third trimester of pregnancy began in 1999 (Hoepner et al., 2013), the year after initial recruitment and data collection began. 348 mothers provided urine samples during pregnancy for measurement of BPA and mono-n-butyl phthalate (MnBP), as a major phthalate metabolite. Not all participants had BPA measures because of limitations in amount of urine available and limited funding for these analyses. A subset of the 348 children was followed through ages 10–12, when data from the Revised Children’s Manifest Anxiety Scale (RCMAS) and Children’s Depression Rating Scale-Revised (CDRS) were obtained on 239 and 231 children, respectively (Fig. 1). Urine samples were collected at ages 3 and/or 5 years during the same visit when questionnaires were administered. 218 of the 241 children included in this analysis had data on postnatal BPA concentrations: age 5 urinary BPA measures were used for 181 children and age 3 year measures were used for 37 children who were missing the 5 year sample. After collection, the samples were sent to the CCCEH laboratory, inventoried, stored at  80 °C, and subsequently shipped to the CDC for analysis. Total (free plus conjugated) urinary concentrations of BPA and MnBP were measured separately using online solid-phase extraction coupled with high-performance liquid chromatography– isotope dilution–tandem mass spectrometry as described previously (Ye et al., 2005; Kato et al., 2005), with appropriate quality control samples in each run. The limits of detection (LOD) were 0.4 μg/L (BPA) and 0.4–1.1 μg/L (MnBP). Concentrations below the LOD were given a value of LOD/2 for statistical analysis. To adjust for urinary dilution, BPA and phthalate metabolite values were adjusted for specific gravity (SG) obtained using a handheld refractometer (Urine-Specific-Gravity-Refractometer-PAL-10-S-P14643C0; TAGO USA, Inc., Bellevue, WA). We used the formula: Chemicalc¼BPA or MnBP  [(mean SG 1)/(individual SG  1)] where Chemicalc is the SG-corrected chemical concentration (μg/L), BPA or MnBP is the measured chemical concentration (μg/L), SG is the specific gravity of the urine sample, and mean SG is the mean SG in the study population calculated separately for maternal, child age 3 and child

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age 5 samples (Hauser et al., 2004). 2.3. Behavioral outcomes When children reached ages 10–12 years, they completed a semi-structured interview using the CDRS administered by a trained researcher, according to the standard method of administration. The CDRS is the most widely used scale for assessing severity of depression in children. The CDRS assesses the severity of depressive symptoms on a 17-item scale. The scale encompasses cognitive, somatic, affective, and psychomotor symptoms. Items are rated for severity on a 7-point scale 1–7) for 14 items and on a 5-point scale 1–5) for three items. A total score for each measure is generated based on the child’s answers to questions related to the different categories (such as school work, capacity to have fun, social withdrawal) that assess symptom severity (Mayes et al., 2010; Poznanski et al., 1979). The psychometric properties of the scale are strong for the child age group (ages 6–12 years) (Poznanski and Mokros, 1996). The internal consistency (Cronbach’s α) in children is good (α ¼0.85) (Mayes et al., 2010). Test-retest reliability is good (Wisniewski et al., 1987). Convergent validity with a global assessment of depression by two child psychiatrists has also been shown (0.92) (Poznanski and Mokros, 1996). For the CDRS, a raw score of Z 40 is indicative of depression, whereas a score r 28 is often used to define minimal or no symptoms (Mayes et al., 2010). The Revised Children’s Manifest Anxiety Scale was self-administered at age 10–12 years. This self-report instrument was designed to measure anxiety for children and adolescents older than 6 years (Reynolds and Richmond, 1985). It consists of 37 questions answered as yes/no. The Total Anxiety score and the Anxiety subscale scores are determined by the number of “yes” responses to the anxiety items (Reynolds and Richmond, 1985). The lie score is used to determine if the child was making a valid attempt to respond (Lee et al., 1988). Psychometric properties (reliability and validity) of the RCMAS have been well characterized. Reliability estimates for internal consistency (Cronbach’s α) are good (0.79 for males, 0.85 for females, and 0.82 for the total sample of males and females) (Reynolds et al., 1980). There is substantive research confirming the validity of the RCMAS as a measure of chronic manifest anxiety in children, dating back to the original article reporting the development of the RCMAS (Reynolds and Richmond, 1978). A meta-analytic review showed that it discriminates well between youth with anxiety disorders and youth without disorders (Seligman et al., 2004); and a previous study shows good discriminant validity between boys with anxiety and normal controls (Perrin and Last, 1992). For RCMAS Total Anxiety, a raw score of 4 18 is indicative of clinically significant anxiety (Stallard et al., 2001). However, severity ratings for anxiety and depression are not able to effectively distinguish youth with anxiety disorders and major depression because of the high rate of comorbidity between the two disorders in youth. Moreover, dimensional ratings of symptom severity are not intended to be diagnostic of anxiety vs. depression, but simply to measure the severity of the respective symptoms (Seligman et al., 2004). 2.4. Statistical analysis Because of the uncertainty in the measurement of the BPA level in a single spot urine as an indicator of chronic exposure, prenatal and postnatal BPA concentrations were divided into tertiles. Although several samples are preferable to properly characterize BPA exposure (Quiros-Alcala et al., 2013; Meeker et al., 2013; Braun et al., 2012), a single spot urine sample can adequately classify individuals in terms of exposure groups by tertiles (Mahalingaiah

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et al., 2008), despite low intra-class correlations for concentrations from multiple samples (Braun et al., 2011b) and high daily variance (Ye et al., 2011). For these reasons, as in our prior analyses (Perera et al., 2012; Roen et al., 2015), we compared the upper to the two lower tertiles based on the distribution of predicted scores, which did not strongly support an alternative U-shaped curve (Fig. 2). To be consistent, postnatal BPA concentration, which was included as an independent variable in a supplemental analysis, was treated in the same manner as prenatal BPA in the analyses of CDRS and RCMAS scores. On the RCMAS, the Total Anxiety Score is expressed as a raw score and a T-score (M ¼50, sd¼ 10); the subscales are expressed as raw scores and scaled scores (M¼ 10, sd ¼ 3). Both raw scores and T-scores are generated on the CDRS. We analyzed the raw scores as continuous variables in order to assess associations across the full range of outcomes in this non-clinical population. The CDRS and RCMAS raw scores were normally distributed; we therefore used linear regression to analyze the relationship between scores and BPA urinary concentrations. Analyses were performed stratifying on sex and then combining sexes to assess BPA exposure x sex interaction. As in our prior reports (Perera et al., 2012; Roen et al., 2015), we adjusted for potential confounding variables that are known or suspected risk factors based on the literature and our previous results. These included ethnicity, gestational age of the child (based on medical record data), mother’s intelligence (measured by the Test of Nonverbal Intelligence 3rd Edition, TONI-3 (Brown et al., 1997)), maternal education (completion of high school prior to birth of this child vs. no completion), maternal demoralization (measured by the Psychiatric Epidemiology Research Instrument– Demoralization (PERI-D) scale) (Dohrenwend et al., 1978), child age (in months) at testing, quality of the child’s home environment at 3 years of age (measured by the HOME (Home Observation for Measurement of the Environment) Inventory (Bradley, 1994), prenatal exposure to environmental tobacco smoke (ETS, yes/no), and SG-adjusted MnBP in maternal urine collected during the third trimester of pregnancy (Adibi et al., 2008). In contrast to MnBP, exposure to polycyclic aromatic hydrocarbons (PAH) monitored in air during pregnancy was not correlated with BPA (Pearson Correlation Coefficient r¼0.012, p ¼0.86) and was not included in the models. We used an established multiple imputation method (Rubin, 1987) to provide missing values for the small percentage of the children who lacked particular information, as shown in the table below. In no case were data lacking for more than 6.2% of participants. To determine if postnatal BPA was a potential confounder, we compared the adjusted and unadjusted associations in the subset having both BPA measures (n ¼210) and found that results were materially unchanged. Parallel analyses with postnatal BPA urinary concentrations as the predictor variable were also conducted. To evaluate the potential for selection bias due to loss to follow-up, we conducted sensitivity analyses using inverse probability weighting (IPW). We examined the BPA x sex interaction on the CDRS and RCMAS scores using linear regression, including the main effects of BPA and sex, and an interaction term defined as significant by having a regression coefficient that differed from 0 with a p-value o 0.05. A negative interaction term indicates that the observed effect of BPA on depression or anxiety is smaller in girls compared to that in boys. All regression coefficient estimates and p-values were generated using SAS (version 9.3 SAS Institute Inc., Cary, NC). Although our analyses involved multiple tests, we did not perform Bonferroni adjustment, in order to reduce the possibility of making a type II error (Rothman, 1990). Rather, our focus was on the sex-specific patterns of the observed relationships and their consistency with those seen in our cohort children at an earlier age

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Fig. 2. Comparison of prenatal BPA tertile groups by CDRS Total and RCMAS Total score for Boys and Girls.

(Perera et al., 2012; Roen et al., 2015). We note that there were no material differences in results before and after conducting imputation. We examined the extent to which CDRS and RCMAS total scores

were correlated with each other (Pearson Correlation). To determine the degree to which prenatal BPA was associated with symptoms of anxiety independent of depression, in separate analyses, we: (1) ran the model for RCMAS adjusting for CDRS total

Table 1 Comparison of the characteristics of children included (N ¼ 241) and excluded (N¼471) in the present analysis, among 712 fully enrolled non-smokers. Variable

Subjects in the analysis (n¼ 241)

Subjects NOT in the analysis (n¼ 471)

P-value

Prenatal BPA urinary concentration (mg/L)a,b,c Prenatal mono-n-butyl phthalate concentration (mg/L)a,d Percent female Percent African American Percent with prenatal ETS exposuree Percent 4 ¼ high school education Gestational age at birth (weeks)a Maternal TONI scorea HOME inventorya Maternal demoralization scorea Age at CDRS assessmenta Age at RCMAS assessmenta

3.117 4.04 61.54 7 68.78 52.28 36.93 30.29 60.17 39.32 7 1.23 19.93 78.25 39.977 5.74 1.12 70.64 124.887 11.44 125.3 7 11.33

3.04 75.67 54.88 7 48.35 50.74 33.76 34.82 60.30 39.28 7 1.44 20.83 7 7.41 39.05 7 5.27 1.167 0.6 133.527 9.24 133.97 9.38

0.90 0.24 0.70 0.40 0.16 0.25 0.67 0.14 0.03* 0.37 o0.0001* o0.0001*

a

mean 7 SD. lowest tertile of exposure¼ 0.93 7 0.30, middle tertile of exposure ¼ 1.97 70.38, highest tertile of exposure 6.0775.67. c LOD¼0.4 μg/L. d LOD¼0.4–1.1 μg/L. e Environmental tobacco smoke. * p o0.05. b

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score and (2) treating the residuals obtained from regression of RCMAS on CDRS as the outcome variable.

3. Results The 241 children included in this analysis did not differ in demographic or exposure characteristics from all others in the parent study (N ¼471) who were not included, except for having an earlier age at assessment on CDRS and RCMAS and a higher average HOME inventory score (p o0.05). (Table 1) The same was true when we compared the subset analyzed (N¼ 241) with the group having prenatal BPA measures but missing outcome or postnatal BPA or MnBP data (N ¼ 107). Age at assessment was included in the model. The present study sample in the analysis of RCMAS included 239 children (114 boys and 125 girls). The analysis of CDRS included 231 children (109 boys and 122 girls). A total of 235/241 (97.51%) prenatal samples had detectable BPA concentrations and 215/218 (98.6%) postnatal samples (at age 3 or 5 years) had detectable BPA concentrations. The ranges and percentile distribution of prenatal BPA urinary concentrations are shown in Table 2. A wide range of prenatal and postnatal BPA concentrations was observed within our cohort with higher geometric mean concentrations observed during childhood. Supplemental Tables 3 and 4 provide the mean scores for CDRS and RCMAS by tertile of BPA exposure, for boys and girls, respectively. As shown in Fig. 3 and summarized in Supplemental Table 5, boys in the highest prenatal BPA concentration tertile experienced higher CDRS Total Scores (more symptoms of depression) compared to those in the lower two tertiles (β ¼2.83, p ¼0.05). No significant association was detected in girls. As noted above, a raw score of Z40 is indicative of depression, whereas a score r 28 is often used to define minimal or no symptoms (Mayes et al., 2010). The mean raw CDRS score for the boys in the highest BPA tertile in our study was 29.5. 5/38 (13.2%) of the boys in the highest BPA tertile scored Z40, compared to 1/33 (3.0%) in the lowest tertile and 1/38 (2.6%) in the middle tertile. We observed significant positive associations between prenatal BPA concentration and the RCMAS Total Score (β ¼2.47, p¼ 0.04) and the social concern subscale (β ¼0.83, p ¼0.025) in boys (Fig. 3 and Supplemental Table 5). No significant associations were seen

Fig. 3. Association between prenatal BPA exposure (highest tertile vs. lower two) and anxiety and depression symptoms measured by the CDRS and RCMAS in boys (diamond markers), girls (square markers), and all children (circle markers) comparing the highest BPA tertile to the lower two.

in girls (Supplemental Table 5). 5/39 (12.8%) of boys in the highest BPA tertile scored 418, compared to 2/34 (5.9%) in the lowest tertile and 3/41 (7.3%) in the middle tertile. Results for both sexes combined are shown in Supplemental Table 5 along with the interaction terms. The positive significant associations seen overall (all children) were driven mainly by the effects in boys. The interaction terms (BPA x sex) were not significant: for the CDRS Total Score (β ¼ 2.61, p¼ 0.194); for the RCMAS Total Score or the subscale scores (βs between  0.79 and  2.66). After accounting for potential selection bias based on the inverse probability weighting method, we found that the associations between prenatal BPA concentration and CDRS and RCMAS scores in boys were not materially changed (Supplemental Table 6). Additionally, because it may not be appropriate to use age 3 measures of BPA for 37 children who lacked the 5 year measure, we conducted a sensitivity analysis that did not show material differences in results when those 37 children were included vs. excluded. The CDRS and RCMAS Total scores were significantly correlated

Table 2 Descriptive statistics of prenatal and postnatal BPA concentrations among 115 boys and 126 girls included in the analysis (LOD¼ 0.4 mg/L). Percentile

Geometric mean

Time of BPA collection

Minimum

10th

25th

50th

75th

90th

Maximum

Mean

Prenatal BPA No specific gravity adjustment (mg/L) All children Girls Boys

oLOD oLOD oLOD

0.60 0.60 0.60

1.10 1.00 1.20

1.90 1.80 2.00

3.60 3.50 3.70

6.50 8.30 6.00

30.00 30.00 19.10

3.05 3.19 2.90

1.93 1.92 1.95

Specific gravity adjusted (mg/L) All children Girls Boys

0.25 0.25 0.29

0.86 0.86 0.86

1.25 1.25 1.25

2.09 2.20 2.01

3.55 3.67 3.35

5.79 5.79 5.82

38.97 32.24 38.97

3.11 3.20 3.01

2.14 2.18 2.10

Postnatal BPA No specific gravity adjustment (mg/L) All children Girls Boys

oLOD 0.40 oLOD

1.00 1.00 1.00

1.80 1.50 2.20

3.05 2.90 3.30

6.60 6.40 7.10

11.90 10.70 11.90

41.20 41.20 27.70

5.28 5.35 5.20

3.29 3.10 3.53

Specific gravity adjusted (mg/L) All children Girls Boys

0.25 0.25 0.29

1.25 1.25 1.31

2.03 1.80 2.06

3.17 3.19 3.14

6.47 7.14 6.08

13.73 15.69 11.71

404.00 404.00 33.34

8.40 11.01 5.49

3.74 3.82 3.63

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(Pearson Correlation, r¼0.554, p o0.0001). Adjustment of RCMAS for CDRS in the model with prenatal BPA resulted in loss of significance, although the directions of association remained the same (Supplemental Table 7). Treating the residuals obtained from regression of RCMAS on CDRS as the outcome variable, the associations with prenatal BPA were nonsignificant for both sexes (data not shown). The associations between postnatal BPA and RCMAS or CDRS outcomes were generally not significant in either boys or girls, except for the interaction term (BPA x sex) for RCMAS subscale oversensitivity (β ¼1.67, p ¼0.04) (see Supplemental Table 8). However, as in our earlier reports (Perera et al., 2012; Roen et al., 2015), the directions of the associations were opposite to those seen with prenatal BPA.

4. Discussion The aim of this study in a non-clinical population was to assess the associations between BPA exposure and continuous measures of depression and anxiety. We observed significant positive associations between prenatal BPA urinary concentrations and selfreported symptoms of anxiety and depression among 10–12 year old boys in our NYC cohort of Dominican and African-American children; in contrast no significant associations were seen among girls. The associations with postnatal BPA were generally inverse but none were significant. This suggests that the critical window of susceptibility is the period of fetal development. These findings, with respect to prenatal exposure, are consistent with results in the same cohort using the maternal report on the CBCL at child ages 7–9 years that showed positive associations between maternal urinary BPA concentrations and internalizing and externalizing composite scores and specific syndrome scales including anxiety/depression in boys (Perera et al., 2012; Roen et al., 2015). They are also consistent with our previous finding that maternal urinary BPA concentrations were generally inversely associated with scores among girls 7–9 years of age (Perera et al., 2012; Roen et al., 2015). In a primarily Hispanic cohort in Salinas Valley, California, Harley et al. also reported positive associations between prenatal BPA urinary concentrations and internalizing problems, including symptoms of anxiety and depression as well as increased aggressive behavior in boys at 7 years of age using the Behavioral Assessment Scale for Children (BASC-2). In girls, these authors observed inverse associations between prenatal BPA and many symptoms, although none were significant (Harley et al., 2013). In a multi-center cohort in four US cities, Evans et al. observed increased behavior problems in school age boys, but not girls, related to prenatal BPA when restricting to children of mothers with detectable urinary prenatal BPA (Evans et al., 2014). In contrast, in a largely white cohort in Cincinnati, Ohio, Braun et al. reported that prenatal BPA urinary concentrations were linked to a decrease in hyperactivity in boys and increases in anxiety, depression, hyperactivity and externalizing symptoms in girls at ages 2–3 years using the BASC (Braun et al., 2011a, 2009). The discrepancy among studies may be due to differences in timing of exposure measurement, instruments used in outcome assessment, statistical treatment of exposure variables, and populations studied. Ethnic differences in co-exposures, genetic factors, and social stressors experienced by the mothers and children in the respective cohorts and differences in age at which the children were tested may also contribute. The observed extensive co-occurrence of anxiety and depressive symptoms in this sample is consistent with other studies (Cummings et al., 2014). In this study, higher levels of prenatal exposure to BPA are associated with higher more reported symptoms of depression

and anxiety in boys. A higher percentage of the boys in the higher prenatal exposure group scored in the clinically significant range than among boys with lower prenatal exposure; however, a definitive clinical diagnosis requires additional assessment, which is being conducted in the cohort at a later follow-up. We note that the level of symptoms are largely in the typical range and not indicative of major mental health problems. Regarding possible mechanisms by which BPA could exert endocrine disrupting effects on symptom expression, a recent experimental study suggests that prenatal BPA exposure alters expression of genes encoding the estrogen receptors, ER-α, ER-β and estrogen-related receptor-γ, with corresponding changes in mRNA levels of DNA methyltransferases DNMT1 and DNMT3A and methylation of the ER-α gene in the cortex and hypothalamus of male and female mice, respectively. As noted earlier, another study showed that prenatal BPA exposure induced lasting DNA methylation changes in the BDNF gene (Kundakovic et al., 2015, 2014). Additional studies have shown that rodents exposed to BPA prenatally had increased levels of anxiety (Cox et al., 2010; Patisaul and Bateman, 2008; Ryan and Vandenbergh 2006; Tian et al., 2010; Yu et al., 2011; Xu et al., 2014; Luo et al., 2014), although the sex-specificity of these associations was not always consistent between studies (Ishido et al., 2004; Ishido et al., 2007; Masuo et al., 2004; Xu et al., 2007). Sex-specific effects on spatial learning and memory outcomes have also been linked to developmental BPA exposure (Ryan and Vandenbergh, 2006; Xu et al., 2007). Taken together, these studies suggest that epigenetic mechanisms may underlie some of the effects of BPA on behavior. Our findings on the effect of prenatal BPA exposure in boys are consistent with prior epidemiologic data suggesting a greater vulnerability of the male brain during prenatal development (Perera et al., 2012; Harley et al., 2013). A number of studies assessing outcomes, such as behavior problems and reduced IQ, have reported evidence that boys may be more affected than girls by prenatal exposure to BPA (Harley et al., 2013), lead (Jedrychowski et al., 2009), and chlorpyrifos (Horton et al., 2012). However, the sex-dependent effect of these chemicals likely depends on the nature and timing of exposure. The finding that results differ between boys and girls is plausible given the endocrine-disrupting characteristic of BPA. The present study has a number of strengths including the prospective cohort design and the large number of variables collected from medical records, questionnaires and biological samples collected across the span of our study, allowing us to control for multiple potential confounders at different time points, and the fact that symptoms are now self-reported by the child rather than reported by the parent. The limited sample size and the assessment of prenatal BPA exposure based on a single measurement collected prenatally are limitations. Because BPA has a short half-life and exposures are likely episodic in nature, the single spot urine sample collected may not adequately describe a participant’s chronic exposure. Recent work shows that repeated urinary specimens are ideal to better characterize BPA exposure (Cox et al., 2016). However, as noted, the urinary concentration from a single urine sample has moderate sensitivity in estimating an individual’s BPA tertile categorization (Mahalingaiah et al., 2008), mitigating exposure misclassification. Furthermore, given the potential for noise in these measurements, we would expect the result to be biased towards the null. We adjusted for a number of known factors that may confound the association between BPA exposure and behavioral outcomes; however, it is possible that residual confounding remains. Although generalizability is reduced by the ethnicity of our cohort (African-American and Dominican), these ethnic groups comprise a large and growing fraction of the US population of women of reproductive age. There is the possibility of selection

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bias in any such study; however, analysis using IPW did not show evidence of a biased sample.

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Ye, Xiaoliu Zhou, Josh Kramer, and Lily Jia in measuring the urinary concentrations of BPA, Valerie Thomas for collecting the psychological assessment data, Joanne Chin and Kylie Wheelock in preparing the manuscript.

5. Conclusion The etiology of behavioral problems in children is complex and multi-factorial; however, these results suggest that prenatal BPA exposure may contribute to sex-specific effects on anxiety and depressive symptoms in our inner city population. They add to other reports raising concern about the pervasiveness of this chemical and its potential effects on children from early-life exposures. Other studies have linked anxiety and depression with adverse learning outcomes and poor school performance (Bub et al., 2007; Grimm et al., 2010), both of which adversely impact future economic and emotional well-being. Other research also indicates that the rate of symptom expression is only beginning to increase at ages 9–12 years and that elevated symptoms at these ages may be harbingers of subsequent more serious clinical disorders related to anxiety and depression that will manifest in adolescence and young adulthood (Merikangas et al., 2010; Simonoff et al., 1997; Costello et al., 2006; Paus et al., 2008; Patton and Viner, 2007). We continue to follow the children to assess the relation between prenatal BPA exposure and clinical disorders in adolescence in our cohort.

Funding sources Funding was provided by the National Institute for Environmental Health Sciences (NIEHS) and the U.S. Environmental Protection Agency (US EPA): NIEHS/EPA P01ES09600/R82702701, NIEHS/EPA P01ES09600/RD83214101, NIEHS/EPA P01ES09600/ RD83450901, NIEHS R01ES08977, NIEHS R01ES015579, and NIDA R01DA027100. This publication was also made possible in part by the John and Wendy Neu Family Foundation, the New York Community Trust, and the Trustees of the Blanchette Hooker Rockefeller Fund.

Human subjects research All activities were approved by the Institutional Review Boards at the Columbia University Medical Center under human subjects protocol number AAAA-6110, and by the Centers for Disease Control and Prevention.

Disclaimer The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention. Funding from all the institutions listed was used towards the design and conduct of the study, collection, management, analysis and interpretation of the data, and the preparation, review, and approval of the manuscript. Its contents are solely the responsibility of the grantee and do not necessarily represent the official views of the US EPA or the National Institutes of Health. Further, the US EPA does not endorse the purchase of any commercial products or services mentioned in the publication.

Acknowledgement The authors gratefully acknowledge the assistance of Xiaoyun

Appendix A. Supplementary material Supplementary data associated with this article can be found in the online version at http://dx.doi.org/10.1016/j.envres.2016.07. 028.

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